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Lookup NU author(s): Professor Heather Cordell
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Following the identification of several disease-associated polymorphisms by genome-wide association (GWA) analysis, interest is now focusing on the detection of effects that, owing to their interaction with other genetic or environmental factors, might not be identified by using standard single-locus tests. In addition to increasing the power to detect associations, it is hoped that detecting interactions between loci will allow us to elucidate the biological and biochemical pathways that underpin disease. Here I provide a critical survey of the methods and related software packages currently used to detect the interactions between genetic loci that contribute to human genetic disease. I also discuss the difficulties in determining the biological relevance of statistical interactions.
Author(s): Cordell HJ
Publication type: Review
Publication status: Published
Journal: Nature Reviews Genetics
Year: 2009
Volume: 10
Issue: 6
Pages: 392-404
ISSN (print): 1471-0056
ISSN (electronic): 1471-0064
Publisher: NATURE PUBLISHING GROUP
URL: http://dx.doi.org/10.1038/nrg2579
DOI: 10.1038/nrg2579
